AI/ML
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Machine Learning Model Performance Metric
Accuracy: the ratio of true, indicate that how often we can expect our machine learning model will correctly predict an outcome out of the total number of times it made predictions
Precision: represents the model’s ability to correctly predict the positives out of all the positive predictions
Recall: represents the model’s ability to correctly predict the positives out of actual positives.
F1-Score: a function of Precision and Recall
F1 Score is needed when you want to seek a balance between Precision and Recall
Resources
An Opinionated Guide to ML Research
The authors provided some advice to up-and-coming researchers in machine learning (ML), based on his experience doing research and advising others. The advice covers how to choose problems and organize your time. The keys to success are working on the right problems, making continual progress on them, and achieving continual personal growth. This essay is comprised of three sections, each covering one of these topics.
Practical Deep Learning
A free course designed for people with some coding experience, who want to learn how to apply deep learning and machine learning to practical problems.
This free course is designed for people (and bunnies!) with some coding experience who want to learn how to apply deep learning and machine learning to practical problems.
cnn-convoluter
An interactive player for CNN convolution
Machine Learning Roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
Namely:
🤔 Machine Learning Problems - what does a machine learning problem look like? ♻️ Machine Learning Process - once you’ve found a problem, what steps might you take to solve it? 🛠 Machine Learning Tools - what should you use to build your solution? 🧮 Machine Learning Mathematics - what exactly is happening under the hood of all the machine learning code you're writing? 📚 Machines Learning Resources - okay, this is cool, how can I learn all of this?
PythonStock
